Stepwise least squares estimation of multivariate AR model
標簽: multivariate estimation Stepwise squares
上傳時間: 2017-05-17
上傳用戶:pinksun9
建立了一種基于移動最小二乘(Moving Least-Squares MLS)法的曲線曲 面擬合方法這種方法對傳統的最小二乘(LS)法的作了比較大的改進使生成的曲線曲面具 有精度高光滑性好等許多優點詳細介紹了移動最小二乘法的原理應用和特點并且給 出了使用移動最小二乘法進行曲線曲面擬合的程序設計流程最后給出了曲線擬合和空間散 亂數據曲面擬合算例將擬合結果與最小二乘擬合結果作了比較分析了MLS 擬合曲線曲 面的光滑性和擬合質量表明了該方法的優越性和有效性
標簽: Least-Squares Moving MLS LS
上傳時間: 2017-07-02
上傳用戶:xc216
3D shape reconstruction matlab code. It used shape from defocus technique with least squares. You can reconstruct 3D shape with only two different depth images.
標簽: shape reconstruction technique defocus
上傳時間: 2014-01-07
上傳用戶:Zxcvbnm
Least Squares Fitting of Data
標簽: Fitting Squares Least Data
上傳時間: 2013-12-27
上傳用戶:問題問題
least squares method
上傳時間: 2014-01-25
上傳用戶:lifangyuan12
System identification with adaptive filter using full and partial-update Recursive-Least-Squares
標簽: Recursive-Least-Squares identification partial-update adaptive
上傳時間: 2013-12-30
上傳用戶:LouieWu
MATLAB Example Code : Non-Linear Least Squares --- Bearings-Only Measurement
標簽: Bearings-Only Measurement Non-Linear Example
上傳時間: 2014-06-08
上傳用戶:fxf126@126.com
We address the problem of blind carrier frequency-offset (CFO) estimation in quadrature amplitude modulation, phase-shift keying, and pulse amplitude modulation communications systems.We study the performance of a standard CFO estimate, which consists of first raising the received signal to the Mth power, where M is an integer depending on the type and size of the symbol constellation, and then applying the nonlinear least squares (NLLS) estimation approach. At low signal-to noise ratio (SNR), the NLLS method fails to provide an accurate CFO estimate because of the presence of outliers. In this letter, we derive an approximate closed-form expression for the outlier probability. This enables us to predict the mean-square error (MSE) on CFO estimation for all SNR values. For a given SNR, the new results also give insight into the minimum number of samples required in the CFO estimation procedure, in order to ensure that the MSE on estimation is not significantly affected by the outliers.
標簽: frequency-offset estimation quadrature amplitude
上傳時間: 2014-01-22
上傳用戶:牛布牛
·經典Mean shift算法
上傳時間: 2013-05-29
上傳用戶:417313137
針對Mean Shift算法不能跟蹤快速目標、跟蹤過程中窗寬的大小保持不變的特點。首先,卡爾曼濾波器初步預測目標在本幀的可能位置;其次, Mean Shift算法在這點的鄰域內尋找目標真實的位置;最后,在目標出現大比例遮擋情況時,利用卡爾曼殘差來關閉和打開卡爾曼濾波器。實驗表明該算法在目標尺度變化、遮擋等情況下對快速運動的目標能夠取得較好的跟蹤效果。
上傳時間: 2013-10-10
上傳用戶:TF2015